Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems

Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems

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Article ID: iaor2008276
Country: Netherlands
Volume: 42
Issue: 2
Start Page Number: 626
End Page Number: 638
Publication Date: Nov 2006
Journal: Decision Support Systems
Authors: , ,
Keywords: artificial intelligence: decision support
Abstract:

Automated negotiation by autonomous agents has become increasingly important since the advent of e-marketplace. In this study, automated negotiation is viewed as a search process in which negotiators jointly search for a mutually acceptable contract in a multidimensional space formed by negotiable issues. This search is formulated as a multiple-objective decision making problem and is solved through an iterative process of generating offers by fuzzy inference systems. These fuzzy inference systems serve as a search heuristic and are formulated based on the strategy of issue trade-offs. Five experiments are conducted to evaluate the performance of the proposed automated negotiation algorithm.

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